Sebastian's Resume

Experience

  • Data Scientist @ AIM (Elevance Health)

    Oct 2021 — Today
    • Establishing an Azure machine learning pipeline using Python to solve a binary classification problem of whether a home health authorization service line can be auto-approved, significantly saving clinical costs.
    • Running a pilot under the clinical AI team to evaluate John Snow Labs' NLP capabilities in a specific use-case for physical therapy. Comparing against other in-house and custom NLP techniques.
    • Developing tree-based machine learning models to auto approve MRI cases based on different modalities, using scikit-learn pipelines, CatBoost, and NLP techniques.
  • Senior Actuarial Analyst @ myNexus (Elevance Health)

    Feb 2021 — Oct 2021
    • Performing opportunity analysis for expansion into new Post-Acute Care markets, using common utilization and cost
      metrics.
    • Budgeting and forecasting Home Healthcare markets with assumptions for utilization, cost, and membership.
    • Assembling Tableau and Excel reports with claim line level details in SQL, creating metrics and reporting for home
      health data including days, episodes, and visits.
  • Actuarial Analyst II @ Optima Health

    Apr 2019 — Jan 2021
    • Developed analytical dashboards using Excel and SQL for complex self-funded stop-loss product lines, including projections, IBNR, and rating methods. Working closely with data science consultants for stop loss predictions.
    • Forecasted loss ratios in commercial line of business based on historical pricing, membership, and claims trends.
    • Performed traditional actuarial roles in rate filing, pricing, and trend analytics for commercial groups.
  • Actuarial Analyst @ Conrad Siegel

    Nov 2016 — March 2019
    • Managed multiple OPEB plans, valuing school district and township medical, prescription, dental, and vision benefits.
  • Marketing Analyst @ Woodstream

    Dec 2015 — Nov 2016
    • Lead development of statistical safety stock models with current observations and assumptions for operations management.